Articles producció científicaEnginyeria Informàtica i Matemàtiques

A model to identify urban traffic congestion hotspots in complex networks

  • Identification data

    Identifier:  PC:1930
    Authors:  Albert Solé-Ribalta; Sergio Gómez; Alex Arenas
    Abstract:
    The rapid growth of population in urban areas is jeopardizing the mobility and air quality worldwide. One of the most notable problems arising is that of traffic congestion. With the advent of technologies able to sense real-time data about cities, and its public distribution for analysis, we are in place to forecast scenarios valuable for improvement and control. Here, we propose an idealized model, based on the critical phenomena arising in complex networks, that allows to analytically predict congestion hotspots in urban environments. Results on real cities¿ road networks, considering, in some experiments, real traffic data, show that the proposed model is capable of identifying susceptible junctions that might become hotspots if mobility demand increases.
  • Others:

    Link to the original source: http://rsos.royalsocietypublishing.org/content/3/10/160098
    Article's DOI: 10.1098/rsos.160098
    Journal publication year: 2016
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2016-11-02
    First page: Art.num. 160098
    URV's Author/s: SOLÉ RIBALTA, ALBERT; GÓMEZ JIMÉNEZ, SERGIO; ARENAS MORENO, ALEJANDRO
    Department: Enginyeria Informàtica i Matemàtiques
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Article
    ISSN: 2054-5703
    Author, as appears in the article.: Albert Solé-Ribalta; Sergio Gómez; Alex Arenas
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Journal volume: 3
    Research group: Algorithms embedded in Physical Systems
    Thematic Areas: Computer engineering
  • Keywords:

    Phase transitions physics
    Congestion model
    Complex networks
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